Articles | Volume 11, issue 11
Geosci. Model Dev., 11, 4621–4635, 2018
https://doi.org/10.5194/gmd-11-4621-2018
Geosci. Model Dev., 11, 4621–4635, 2018
https://doi.org/10.5194/gmd-11-4621-2018

Development and technical paper 19 Nov 2018

Development and technical paper | 19 Nov 2018

The VOLNA-OP2 tsunami code (version 1.5)

Istvan Z. Reguly1, Daniel Giles2, Devaraj Gopinathan3, Laure Quivy4, Joakim H. Beck5, Michael B. Giles6, Serge Guillas3, and Frederic Dias2 Istvan Z. Reguly et al.
  • 1Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Prater u 50/a, 1088 Budapest, Hungary
  • 2School of Mathematics and Statistics, University College Dublin, Dublin, Ireland
  • 3Department of Statistical Science, University College London, London, UK
  • 4Centre de Mathématiques et de Leurs Applications (CMLA), Ecole Normale Supérieure, Paris-Saclay, Centre National de la Recherche Scientifique, Université Paris-Saclay, 94235 Cachan, France
  • 5Computer, Electrical and Mathematical Science and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
  • 6Math Institute, University of Oxford, Oxford, UK

Abstract. In this paper, we present the VOLNA-OP2 tsunami model and implementation; a finite-volume non-linear shallow-water equation (NSWE) solver built on the OP2 domain-specific language (DSL) for unstructured mesh computations. VOLNA-OP2 is unique among tsunami solvers in its support for several high-performance computing platforms: central processing units (CPUs), the Intel Xeon Phi, and graphics processing units (GPUs). This is achieved in a way that the scientific code is kept separate from various parallel implementations, enabling easy maintainability. It has already been used in production for several years; here we discuss how it can be integrated into various workflows, such as a statistical emulator. The scalability of the code is demonstrated on three supercomputers, built with classical Xeon CPUs, the Intel Xeon Phi, and NVIDIA P100 GPUs. VOLNA-OP2 shows an ability to deliver productivity as well as performance and portability to its users across a number of platforms.

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Short summary
We present the VOLNA-OP2 tsunami simulation code, built on the OP2 library. It is unique among such solvers in its support for several high-performance computing platforms: CPUs, the Intel Xeon Phi, and GPUs. This is achieved in a way that the scientific code is kept separate from various parallel implementations, enabling easy maintainability. Scalability and efficiency are demonstrated on three supercomputers built with CPUs, Xeon Phi's, and GPUs.